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Capturing images with Pupil, python and OpenCV

More than 5 years have passed since last update.

Pupil is a head-mounted eye tracker, which is very low price (380 Euro~)
See Pupil lab: http://pupil-labs.com/pupil/

Although a good sdk for MacOS and Linux is available officially, I had a try to use this device just for capuring inside/outside views.

capture.py
import cv2
import sys
import numpy as np
import re


def init_camera(id, width, height):
    u'''
    Initializing a camera
    '''
    cap = cv2.VideoCapture(id)
    cap.set(cv2.cv.CV_CAP_PROP_FRAME_WIDTH, width)
    cap.set(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT, height)

    return cap


def run(ids, width=320, height=180):
    u'''
    Capturing images
    '''
    caps = [init_camera(id, width, height) for id in ids]

    while(True):
        # Capture frame-by-frame
        for id in ids:
            ret, frame = caps[id].read()

            # Our operations on the frame come here

            # Display the resulting frame
            cv2.imshow('cam %d' % id, frame)

        if cv2.waitKey(1) & 0xFF == ord('q'):
            break

    # When everything done, release the capture
    for id in ids:
        caps[id].release()
    cv2.destroyAllWindows()


def parse_argvs(argvs):
    if(len(argvs) == 1):
        print 'Usage: python capture.py --ids [0, 1, ...] --width [width], --height [height]'

    if '--width' in argvs:
        width = np.int(argvs[argvs.index('--width') + 1])
    else:
        width = 320
    if '--height' in argvs:
        height = np.int(argvs[argvs.index('--height') + 1])
    else:
        height = 180
    if '--ids' in argvs:
        ids = []
        idx = argvs.index('--ids') + 1
        while(re.match('--.*', argvs[idx]) is None):
            ids.append(np.int(argvs[idx]))
            idx = idx + 1
    else:
        ids = [0]

    return ids, width, height

if(__name__ == '__main__'):
    ids, width, height = parse_argvs(sys.argv)
    run(ids, width, height)

Example:

python capture.py --ids 0 1 --width 320 --height 180
kobito.1414127169.369296.png

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